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Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding....

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Malte Ubl

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124,713 views • 6 months ago •via X (Twitter)

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My talk from the AI Engineer Code Summit is out! 🚨 "How Claude Code Works" and what we can learn about frontier agent architectures. Coding agents are suddenly really really good, and I'm trying to understand why. In short: better models, simple loop design, and bash tools
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My talk from the AI Engineer Code Summit is out! 🚨 "How Claude Code Works" and what we can learn about frontier agent architectures. Coding agents are suddenly really really good, and I'm trying to understand why. In short: better models, simple loop design, and bash tools

Jared Zoneraich

13,936 views • 6 months ago

CNN’s Dana Bash continues to surprise everyone. She just forced Gavin Newsom to admit a hard truth about his privileged upbringing — something he was clearly hoping to gloss over as he tried to whitewash his past for 2028. You can see the pain on his face the moment he realized Bash wasn’t throwing him a softball. NEWSOM: “We had about 1000 employees at peak. I’m not saying that to impress you, but to impress upon you how entrepreneurialism has defined my life. But it was also defined in relationship to the Getty family.” “And with that came this notion…well, it was handed to you. It was given to you. You inherited it.” “As opposed to the hard work and that that grind that defined the lived experience.” Bash fired back. BASH: “Can it be both?” “You have the hard work and grind…and you had doors opened.” Newsom tried to play it down, but Bash reloaded. NEWSOM: “Yeah…oh no…and that’s—” BASH: “I mean, it’s not just the Getty’s…your grandfather and your father were both VERY connected in San Francisco.” Later, Newsom tried to pitch his lavish trips in his youth as “adventures,” but Bash once again hit him with a dose of reality. BASH: “These weren’t just adventures.” “You went on safaris, you took pictures from helicopters. You were partying with Jack Nicholson…”
1:20

CNN’s Dana Bash continues to surprise everyone. She just forced Gavin Newsom to admit a hard truth about his privileged upbringing — something he was clearly hoping to gloss over as he tried to whitewash his past for 2028. You can see the pain on his face the moment he realized Bash wasn’t throwing him a softball. NEWSOM: “We had about 1000 employees at peak. I’m not saying that to impress you, but to impress upon you how entrepreneurialism has defined my life. But it was also defined in relationship to the Getty family.” “And with that came this notion…well, it was handed to you. It was given to you. You inherited it.” “As opposed to the hard work and that that grind that defined the lived experience.” Bash fired back. BASH: “Can it be both?” “You have the hard work and grind…and you had doors opened.” Newsom tried to play it down, but Bash reloaded. NEWSOM: “Yeah…oh no…and that’s—” BASH: “I mean, it’s not just the Getty’s…your grandfather and your father were both VERY connected in San Francisco.” Later, Newsom tried to pitch his lavish trips in his youth as “adventures,” but Bash once again hit him with a dose of reality. BASH: “These weren’t just adventures.” “You went on safaris, you took pictures from helicopters. You were partying with Jack Nicholson…”

Overton

1,982,713 views • 4 months ago

Claude R Perrin Code SDK is under-rated One cool part with Claude Code SDK is that it supports full features out of box: - Skills - Sub agents - Hooks - ... Which means you can use claude code CLI as a debug tool to build agent, and then import to your Claude code powered agent Here is a quick example of a pptx presentation agent using Claude Code SDK + doc skills Code example from AI Builder Club by Kai:
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Claude R Perrin Code SDK is under-rated One cool part with Claude Code SDK is that it supports full features out of box: - Skills - Sub agents - Hooks - ... Which means you can use claude code CLI as a debug tool to build agent, and then import to your Claude code powered agent Here is a quick example of a pptx presentation agent using Claude Code SDK + doc skills Code example from AI Builder Club by Kai:

Jason Zhou

11,981 views • 8 months ago

There's a built-in agent inside Claude Code you can invoke just by telling Claude to use the claude-code-guide agent Save this... you'll need it It's not a local file in your project. It's a built-in subagent defined in Claude Code's system itself. It answers questions about Claude Code CLI, the Agent SDK, and the Claude API. It uses Glob, Grep, Read, WebFetch, and WebSearch, but can't edit or write files. Its only job is to answer questions.
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There's a built-in agent inside Claude Code you can invoke just by telling Claude to use the claude-code-guide agent Save this... you'll need it It's not a local file in your project. It's a built-in subagent defined in Claude Code's system itself. It answers questions about Claude Code CLI, the Agent SDK, and the Claude API. It uses Glob, Grep, Read, WebFetch, and WebSearch, but can't edit or write files. Its only job is to answer questions.

Daniel San

57,240 views • 4 months ago

BASH: Are you okay with the US military using American cities as 'training grounds'? MIKE JOHNSON: For what? I don't know what's being implied by that BASH: It suggests troops are going to be in US cities and use their time there to do military training JOHNSON: Well sure, I think that's been very beneficial for the National Guard BASH: So it's okay? JOHNSON: It's a win-win scenario
2:37

BASH: Are you okay with the US military using American cities as 'training grounds'? MIKE JOHNSON: For what? I don't know what's being implied by that BASH: It suggests troops are going to be in US cities and use their time there to do military training JOHNSON: Well sure, I think that's been very beneficial for the National Guard BASH: So it's okay? JOHNSON: It's a win-win scenario

Aaron Rupar

369,340 views • 9 months ago

MIKE JOHNSON: If the authority is there and OMB sees a program that is wasting taxpayer dollars, you and I can both agree govt doesn't do everything in the most efficient manner BASH: Constitutionally, that's your job. Article 1. That's your job. JOHNSON: It is until Schumer decides to hand the keys to the president. BASH: I'm surprised you're okay with that.
1:41

MIKE JOHNSON: If the authority is there and OMB sees a program that is wasting taxpayer dollars, you and I can both agree govt doesn't do everything in the most efficient manner BASH: Constitutionally, that's your job. Article 1. That's your job. JOHNSON: It is until Schumer decides to hand the keys to the president. BASH: I'm surprised you're okay with that.

Aaron Rupar

311,029 views • 9 months ago

🚨 Secure OpenClaw - Message Your Custom AI Agent From Telegram We are excited for our first release of personal agents. You can now use Abacus AI's DeepAgent to vibe code a personal agent on Telegram Create and simply message the agent! - do tasks like respond to emails - schedule meetings - use the browser to book tickets - connect to your internal systems The agent runs on a secure environment with constraints and you can pretty much customize it exactly like you want it when you are building it This is just v1 - we are going to be launching something WAY more exciting soon
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🚨 Secure OpenClaw - Message Your Custom AI Agent From Telegram We are excited for our first release of personal agents. You can now use Abacus AI's DeepAgent to vibe code a personal agent on Telegram Create and simply message the agent! - do tasks like respond to emails - schedule meetings - use the browser to book tickets - connect to your internal systems The agent runs on a secure environment with constraints and you can pretty much customize it exactly like you want it when you are building it This is just v1 - we are going to be launching something WAY more exciting soon

Bindu Reddy

10,702 views • 4 months ago

🚨 GREG GUTFELD JUST BODIED TIM WALZ after the traitor went to SPAIN to ATTACK President Trump: "He is, in effect, a TRAITOR!" "Walz goes to a foreign country to bash the president, and he's the only governor in American history to have his state conquered by PIRATES!" 🔥 "Think about it. I mean, it's like he is the last guy anybody should listen to." "He's like a teenager that goes on Reddit or something to bash Sydney Sweeney. It's therapy for the unpopular!" "If Walz goes abroad to bash Trump, he's also bashing America because he's the agent for America, and he's seeking out an audience that actually appreciates it." "The reason why he gets a warm embrace there is because they don't know what he's done!" "The only way he can get any recognition is if they don't recognize him. Who is this guy? They don't like Trump. He doesn't like Trump." H/t TV News Now Gutfeld!
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🚨 GREG GUTFELD JUST BODIED TIM WALZ after the traitor went to SPAIN to ATTACK President Trump: "He is, in effect, a TRAITOR!" "Walz goes to a foreign country to bash the president, and he's the only governor in American history to have his state conquered by PIRATES!" 🔥 "Think about it. I mean, it's like he is the last guy anybody should listen to." "He's like a teenager that goes on Reddit or something to bash Sydney Sweeney. It's therapy for the unpopular!" "If Walz goes abroad to bash Trump, he's also bashing America because he's the agent for America, and he's seeking out an audience that actually appreciates it." "The reason why he gets a warm embrace there is because they don't know what he's done!" "The only way he can get any recognition is if they don't recognize him. Who is this guy? They don't like Trump. He doesn't like Trump." H/t TV News Now Gutfeld!

Eric Daugherty

40,324 views • 2 months ago

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.
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Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,594 views • 1 year ago

I have built a Windows x64 sampling profiler for native code+C# to be used by coding agents. Why? Because it is irresponsible to let computers write code but give them no tools to evaluate the performance of their code. Stop guessing, start measuring. -> How does it work? Just point your agent to the profiler and let them measure and optimize. Or record a trace yourself and let the agent interpret the results for you. Works with Claude Code, Codex, pi, etc. The profiler also has a couple of neat features by itself like giving you estimates for how much time your code is spending on memory stalls and annotating disassembly with inlining information. Take a look and try it for free!
12:40

I have built a Windows x64 sampling profiler for native code+C# to be used by coding agents. Why? Because it is irresponsible to let computers write code but give them no tools to evaluate the performance of their code. Stop guessing, start measuring. -> How does it work? Just point your agent to the profiler and let them measure and optimize. Or record a trace yourself and let the agent interpret the results for you. Works with Claude Code, Codex, pi, etc. The profiler also has a couple of neat features by itself like giving you estimates for how much time your code is spending on memory stalls and annotating disassembly with inlining information. Take a look and try it for free!

Sebastian Schöner

12,969 views • 2 months ago

Dana Bash just put Maryland Governor Wes Moore on the SPOT for pushing a redistricting plan that would wipe out the ONLY Republican-held congressional seat in the state. When Moore said he’s urging the Maryland Senate to move forward on redistricting, Bash asked the question he clearly wasn’t expecting: “How is it good for democracy to pursue a map that makes your state even less representative?” Moore tried to dress it up as a pro-democracy move — but Bash wasn’t having it. MOORE: “It is important that states like Maryland that have the ability to look at their maps, that we have a chance to do it.” “And it is why I’m urging the Maryland Senate to to let democracy not die in the free state and allow a vote to happen on the Maryland Senate.” That’s when Bash cut straight to the point. BASH: “Well, let’s talk about that, redistricting. You are pushing hard to redraw Maryland’s Congressional map to further benefit Democrats.” “And what that means is eliminating the ONLY Republican held seat that exists right now.” “The map, as it stands is already REALLY gerrymandered done before you got there.” “How is it good for democracy to pursue a map that makes your state even less representative?” Moore tried to minimize it. MOORE: “Well, actually, the map that the Maryland House passed would actually make six of the eight Congressional districts more competitive than less.” “And frankly, one of the most gerrymandered seats inside of the state of Maryland is actually the Republican seat. It’s Andy Harris’s seat who voted against national redistricting reform.” “But what the Maryland, with the Maryland delegate Maryland house did is they actually said, let’s debate it, let’s discuss it, and then let’s take a vote…” Bash let him finish — then brought it right back to reality. BASH: “And I just want to make sure that people who aren’t totally familiar with the makeup of the legislature in Maryland understand that you’re talking about the Democratic leaders, the Democratic leader in particular, in your home state. So this is, you know, an internal party divide on this.” “And I know you mentioned that you think that some of the Congressional districts will be more competitive, but ultimately you’re trying to push out the only Republican who is serving there.” Mask off moment.
2:02

Dana Bash just put Maryland Governor Wes Moore on the SPOT for pushing a redistricting plan that would wipe out the ONLY Republican-held congressional seat in the state. When Moore said he’s urging the Maryland Senate to move forward on redistricting, Bash asked the question he clearly wasn’t expecting: “How is it good for democracy to pursue a map that makes your state even less representative?” Moore tried to dress it up as a pro-democracy move — but Bash wasn’t having it. MOORE: “It is important that states like Maryland that have the ability to look at their maps, that we have a chance to do it.” “And it is why I’m urging the Maryland Senate to to let democracy not die in the free state and allow a vote to happen on the Maryland Senate.” That’s when Bash cut straight to the point. BASH: “Well, let’s talk about that, redistricting. You are pushing hard to redraw Maryland’s Congressional map to further benefit Democrats.” “And what that means is eliminating the ONLY Republican held seat that exists right now.” “The map, as it stands is already REALLY gerrymandered done before you got there.” “How is it good for democracy to pursue a map that makes your state even less representative?” Moore tried to minimize it. MOORE: “Well, actually, the map that the Maryland House passed would actually make six of the eight Congressional districts more competitive than less.” “And frankly, one of the most gerrymandered seats inside of the state of Maryland is actually the Republican seat. It’s Andy Harris’s seat who voted against national redistricting reform.” “But what the Maryland, with the Maryland delegate Maryland house did is they actually said, let’s debate it, let’s discuss it, and then let’s take a vote…” Bash let him finish — then brought it right back to reality. BASH: “And I just want to make sure that people who aren’t totally familiar with the makeup of the legislature in Maryland understand that you’re talking about the Democratic leaders, the Democratic leader in particular, in your home state. So this is, you know, an internal party divide on this.” “And I know you mentioned that you think that some of the Congressional districts will be more competitive, but ultimately you’re trying to push out the only Republican who is serving there.” Mask off moment.

Overton

243,524 views • 5 months ago

🚨 WOW! CNN’s Dana Bash Calls Out Jasmine Crockett’s Inflammatory Rhetoric to Her Face BASH: “Do you have a responsibility as an elected official to … lower the temperature particularly when there are people out there who listen to elected officials, … who are not well, who use that as a way to instigate the political violence that you are calling out?” CROCKETT: “I am using that language because it is accurate language … When we're seeing all of this, that is a playbook out of H**ler and I won't deny it. These are the facts.”
1:25

🚨 WOW! CNN’s Dana Bash Calls Out Jasmine Crockett’s Inflammatory Rhetoric to Her Face BASH: “Do you have a responsibility as an elected official to … lower the temperature particularly when there are people out there who listen to elected officials, … who are not well, who use that as a way to instigate the political violence that you are calling out?” CROCKETT: “I am using that language because it is accurate language … When we're seeing all of this, that is a playbook out of H**ler and I won't deny it. These are the facts.”

Chief Nerd

1,099,240 views • 9 months ago

Gavin Newsom claims that he didn’t know about his family ties to Oppenheimer or communism growing up. Dana Bash called his willful ignorance “Forrest Gump-esque” right to his face. BASH: “Your great grandfather was very good friends with Oppenheimer. And J. Edgar Hoover got a file on them.” NEWSOM: “Got a big file on him and you know, and it was at the house and and following them and impacted his career. Impacted his future, and also impacted the family and impacted you know, so their way of living and seeing the world.” BASH: “But you never knew any of this?” NEWSOM: “Didn’t know any of this.” “I mean, it was there were vague hints of it but it was never—” BASH: “I have to say there’s kind of a Forrest Gump-esque notion to this because it’s, you know whether it’s Oppenheimer, you learn that your grandmother went to the Soviet Union.” “I mean they were communists.”
0:46

Gavin Newsom claims that he didn’t know about his family ties to Oppenheimer or communism growing up. Dana Bash called his willful ignorance “Forrest Gump-esque” right to his face. BASH: “Your great grandfather was very good friends with Oppenheimer. And J. Edgar Hoover got a file on them.” NEWSOM: “Got a big file on him and you know, and it was at the house and and following them and impacted his career. Impacted his future, and also impacted the family and impacted you know, so their way of living and seeing the world.” BASH: “But you never knew any of this?” NEWSOM: “Didn’t know any of this.” “I mean, it was there were vague hints of it but it was never—” BASH: “I have to say there’s kind of a Forrest Gump-esque notion to this because it’s, you know whether it’s Oppenheimer, you learn that your grandmother went to the Soviet Union.” “I mean they were communists.”

Overton

1,422,990 views • 4 months ago

What if you can build an Agent with it own computer in a single api call? At my Google I/O talk, I showed how to use Gemini Managed Agents and the new Interactions API to give your AI a secure, hosted Linux sandbox to execute code and manage its own memory.
23:49

What if you can build an Agent with it own computer in a single api call? At my Google I/O talk, I showed how to use Gemini Managed Agents and the new Interactions API to give your AI a secure, hosted Linux sandbox to execute code and manage its own memory.

Philipp Schmid

21,726 views • 1 month ago

It doesn’t matter how fast your code is generated if the requirements are unclear. Shit in == shit out. That’s why we designed Software Factory as a discipline, not as a convenience tool. Our agents scrutinize your requirements and designs so that when you pass that context to a coding agent, it delivers as expected. Try it here:
0:30

It doesn’t matter how fast your code is generated if the requirements are unclear. Shit in == shit out. That’s why we designed Software Factory as a discipline, not as a convenience tool. Our agents scrutinize your requirements and designs so that when you pass that context to a coding agent, it delivers as expected. Try it here:

Chamath Palihapitiya

305,241 views • 5 months ago

I built something I believe is useful for agentic coding today. I’ve been too worried it’s not the best it can be, but my wife encouraged me to fail fast if I was worried about failure, so here we are. Introducing Kontinuo by Pull Base, the continuity layer for your AI coding agents. You’re mid-task, you hit a rate limit on Claude, and you want to keep going on Codex or Cursor. But the next agent has no idea what just happened. Kontinuo fixes that, it leaves a verifiable context log the next agent can actually use and it’s really token efficient. Check it out: Use it, break it. I hope it’s useful to at least one person.
1:00

I built something I believe is useful for agentic coding today. I’ve been too worried it’s not the best it can be, but my wife encouraged me to fail fast if I was worried about failure, so here we are. Introducing Kontinuo by Pull Base, the continuity layer for your AI coding agents. You’re mid-task, you hit a rate limit on Claude, and you want to keep going on Codex or Cursor. But the next agent has no idea what just happened. Kontinuo fixes that, it leaves a verifiable context log the next agent can actually use and it’s really token efficient. Check it out: Use it, break it. I hope it’s useful to at least one person.

Big Sheddy 🦅

48,258 views • 20 days ago

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.
4:16

This agent relies on a marketplace of 2.8M+ specialized agents to complete a task. This is how I imagine the future of personal agents. Here is how this works: 1. Agentverse is a marketplace of agents 2. Anyone can build and publish an agent there 3. ASI:One is a personal agent with access to the marketplace 4. To solve a task, ASI:One finds the best agent for the job In other words: You have an agent that can solve pretty much *anything* because it knows how to outsource the work to a network of specialized agents. And you don't need to do any setup to get this working. The way ranking agents in the marketplace works is pretty cool: Fetch.ai, the company behind it, created an AgentRank algorithm that works much like Google's PageRank. Every time an agent calls another, it forms a connection. Over time, these connections build into a graph of who relies on whom. An agent that is frequently called by other reputable agents scores higher and surfaces higher in results. The end result here is that your agent will consistently use the best agents in the marketplace to accomplish a goal. You should give this a try: You don't need to pay or even register to try these agents. Thanks to the team for partnering with me on this post.

Santiago

18,677 views • 19 days ago

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch
58:55

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

GREG ISENBERG

375,365 views • 3 months ago

Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.
0:44

Introducing Agent Mode: Agentic AI is now measured in the Arena. Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more. It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions. Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.

Arena.ai

306,401 views • 1 month ago

New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!
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New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!

Andrew Ng

139,803 views • 1 year ago